Multi-view low-rank dictionary learning for image classification
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- 作者：Fei Wua ; bAuthor Vitae ; Xiao-Yuan Jinga ; b ; jingxy_2000@126.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Xinge YoucAuthor Vitae ; Dong YueaAuthor Vitae ; Ruimin HubAuthor Vitae ; Jing-Yu YangdAuthor Vitae
- 关键词：Multi-view dictionary learning ; Multi-view dictionary low-rank regularization ; Structural incoherence constraint ; Collaborative representation based classification
- 刊名：Pattern Recognition
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：50
- 期：Complete
- 页码：143-154
- 全文大小：1563 K
文摘
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We offer a multi-view low-rank dictionary learning method for image classification.
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Multi-view dictionary low-rank regularization term is designed to handle noise.
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Structural incoherence constraint is given to reduce redundancy in dictionaries.
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Multi-view collaborative representation based classification scheme is provided.
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Effectiveness and efficiency of our method are demonstrated on four datasets.